Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2618
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dc.contributor.authorBeura, Sambit Kumar-
dc.contributor.authorKiran Kumar, N-
dc.contributor.authorBhuyan, Prasanta Kumar-
dc.date.accessioned2017-01-14T07:11:14Z-
dc.date.available2017-01-14T07:11:14Z-
dc.date.issued2016-12-
dc.identifier.citation12th TPMDC Transportation Planning and Implementation Methodologies for Developing Countries, IIT Bombay, Powai, Mumbai, India, 19-21 December 2016en_US
dc.identifier.urihttp://hdl.handle.net/2080/2618-
dc.descriptionCopyright belongs to the proceeding publisheren_US
dc.description.abstractService qualities offered to the bicycle through movement at signalized intersections under heterogeneous traffic conditions have been modeled using attributes collected from 35 intersection approaches. Perceived satisfactions of 160 users were assessed and seven major attributes contributing to bicycle services were identified. A highly reliable model (R2 = 0.86) was developed using step-wise regression analysis. Sensitivity analysis carried out on modelled variables reported that, main-street traffic volume (38%), width of main-street (17.6%), pavement conditions (15.9%) and average stopped time delay (15.2%) are by far the most important variables. Affinity Propagation clustering was used to define ranges of service categories (A-F).en_US
dc.subjectSignalized Intersectionen_US
dc.subjectHeterogeneous Traffic Flowen_US
dc.subjectBicycle Level of Serviceen_US
dc.subjectPerception Surveyen_US
dc.subjectStepwise Regressionen_US
dc.subjectSensitivity analysisen_US
dc.subjectAffinity Propagation Clusteringen_US
dc.titleLevel of Service for Bicycle Through Movement at Signalized Intersections Under Heterogeneous Traffic Flow Conditionsen_US
dc.typeArticleen_US
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